Arquitecturas de datos basadas en Internet de las Cosas y su aplicación

Abstract

The Internet of Things (IoT) is presented as a new information systems paradigm, capable of helping with a number of the difficult challenges faced by our modern society. From the fight against climate change to progress towards achieving the right to a dignified and happy life, this new paradigm poses not only possibilities but also numerous technological challenges. Data privacy and security face new problems in such a dynamic environment as the IoT, where data flows rapidly from producers to consumers, is processed by intermediaries and its value increases thanks to relationships between data from different sources. Where the search for said data and its understanding is a challenge and where huge data volumes require the use of automated processing and the application of artificial intelligence techniques. Where the volume of data can strain the distribution networks and the latency requirements can be high, novel strategies must be applied for the processing of said data locally or close to where it is produced. Where the ability to easily, quickly and securely interconnect platforms and systems represents a competitive advantage in a new data-driven economy. These problems, when tackled individually, offer interesting research and improvement scenarios, but when considered as a whole they reveal an even more interesting reality, where it becomes evident that the total of the parts is more than the sum of them, revealing relationships and synergies between architecture and interface designs, data modeling, security, and even the distribution and orchestration of tasks. This doctoral thesis explores these aspects in a holistic way, integrating existing technologies and standards in the design and construction of secure and interoperable data architectures for IoT, considering ontological data modeling and representation and exploring task distribution and orchestration between edge and the cloud. As a result of this work, three main contributions are presented, oriented to the exploration of interoperable and secure architectures, the distribution and orchestration of tasks between the edge and the cloud and finally on the representation of security and data privacy concepts in this new paradigm. These contributions offer various scenarios and test benches for them, demonstrating their relevance and value for the development and advancement of these technologies.